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Social and Behavioral Sciences Commons

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Full-Text Articles in Social and Behavioral Sciences

Attitudes And Opinions About Direct-To-Consumer Genetic Testing In Undergraduate Science Students, Morgan N. Driver, Sally I-Chun Kuo, Olivia Nayeri, Chloe J. Walker, Chelsea Derlan Willians, Tricia Smith, Amy E. Adkins, Danielle M. Dick Jan 2021

Attitudes And Opinions About Direct-To-Consumer Genetic Testing In Undergraduate Science Students, Morgan N. Driver, Sally I-Chun Kuo, Olivia Nayeri, Chloe J. Walker, Chelsea Derlan Willians, Tricia Smith, Amy E. Adkins, Danielle M. Dick

Graduate Research Posters

Background: There has been exponential growth in the number of direct-to-consumer genetic testing kits sold in the past decade. Consumers utilize direct-to-consumer genetic tests for a number of reasons which include learning about one’s ancestry and potential ways to manage health. Emerging adults tend to be early adopters of new technologies; however, there has been little research regarding the opinions about direct-to-consumer genetic testing in emerging adults.

Methods: Data came from a study conducted in an upper-level biology course focusing on understanding undergraduate science students’ overall experiences with receiving personalized genetic testing results from 23andMe. The present study used data …


Principal Components Analysis Corrects Collider Bias In Polygenic Risk Score Effect Size Estimation, Nathaniel S. Thomas, Peter B. Barr, Fazil Aliev, Sally I. Kuo, Danielle M. Dick, Jessica E. Salvatore Jan 2021

Principal Components Analysis Corrects Collider Bias In Polygenic Risk Score Effect Size Estimation, Nathaniel S. Thomas, Peter B. Barr, Fazil Aliev, Sally I. Kuo, Danielle M. Dick, Jessica E. Salvatore

Graduate Research Posters

BACKGROUND: Genome-wide polygenic scoring has emerged as a way to predict psychiatric and behavioral outcomes and identify environments that promote the expression of genetic risks. An increasing number of studies demonstrate that the effects of polygenic risk scores (PRS) may be biased by the inclusion of heritable environments as covariates when the environment is influenced by unmeasured confounding variables, an example of collider bias. Inclusion of the principal components of observed confounders as covariates may correct for the effect of unmeasured confounders.

METHODS: A simulation study was conducted to test principal components analysis (PCA) as a correction for collider bias. …